A variational Bayesian framework using Gaussian mixture models for probabilistic clustering of single-cell RNA-seq data, applied to neurogenesis and breast cancer with proposed misclustering rate and AUC metrics.
Dok5 is involved in the signaling pathway of neurotrophin-3 against TrkC-induced apoptosis
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A Bayesian approach to model uncertainty in single-cell genomic data
A variational Bayesian framework using Gaussian mixture models for probabilistic clustering of single-cell RNA-seq data, applied to neurogenesis and breast cancer with proposed misclustering rate and AUC metrics.